Jun 24, 2022
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Ongoing
AI-based vehicle health management system
$50,000+
more 1 year
Israel
2-5
Service categories
Service Lines
Artificial Intelligence
Big Data
Domain focus
Automotive
Other
Programming language
Python
Challenge
Modern vehicles are complex machines that are costly to fix and maintain. For instance, warranty claims, recalls, maintenance, and vehicle downtime costs reduce commercial fleet and customer satisfaction.
The main business needs were:
► to allow users to compare and evaluate different anomaly detection models on unsupervised data;
► to enable faster selection of anomaly detection model for every new client dataset with a few labeled anomalies;
► to develop a robust data augmentation framework to help recognize unknown types of anomalies;
► to find a development team with good communication skills ready to start fast;
► to strengthen the in-house development team with skilled ML developers and Data Scientists.
Modern vehicles are complex machines that are costly to fix and maintain. For instance, warranty claims, recalls, maintenance, and vehicle downtime costs reduce commercial fleet and customer satisfaction.
The main business needs were:
► to allow users to compare and evaluate different anomaly detection models on unsupervised data;
► to enable faster selection of anomaly detection model for every new client dataset with a few labeled anomalies;
► to develop a robust data augmentation framework to help recognize unknown types of anomalies;
► to find a development team with good communication skills ready to start fast;
► to strengthen the in-house development team with skilled ML developers and Data Scientists.
Solution
► Using Deep Learning technologies, the client’s solution can determine the vehicle's health conditions and then flag any deviations from the expected behavior. This VHM solution can also predict when a vehicle's health condition could lead to failure and help identify the cause of the problem.
► Unlike other similar VHM solutions that can only operate in the cloud, this one can operate onboard vehicles in real-time, assisting fleet owners to predict vehicle health issues.
► The tasks of the CHI Software’s Machine Learning Engineer include obtaining models from Data Scientists, running them on Big Data, and parallelizing calculations on the cloud.
► Using Deep Learning technologies, the client’s solution can determine the vehicle's health conditions and then flag any deviations from the expected behavior. This VHM solution can also predict when a vehicle's health condition could lead to failure and help identify the cause of the problem.
► Unlike other similar VHM solutions that can only operate in the cloud, this one can operate onboard vehicles in real-time, assisting fleet owners to predict vehicle health issues.
► The tasks of the CHI Software’s Machine Learning Engineer include obtaining models from Data Scientists, running them on Big Data, and parallelizing calculations on the cloud.
Results
► Building precise and powerful anomaly detection tools for offline and online streaming anomaly detection in time-series automotive data;
► Developing a robust framework for data augmentation applicable to various kinds of data;
► Recognition of previously unseen anomalies.
► Building precise and powerful anomaly detection tools for offline and online streaming anomaly detection in time-series automotive data;
► Developing a robust framework for data augmentation applicable to various kinds of data;
► Recognition of previously unseen anomalies.